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About the Role
As a Vice President Senior Artificial Intelligence Engineer at MUFG in London, you will play a pivotal role in embedding advanced AI technologies across the EMEA region. You will be responsible for designing, delivering, and supporting innovative AI solutions, including retrieval augmented generation (RAG) and agentic models, driving digital transformation and business value within the Corporate Technology team.
Responsibilities
- Collaborate with cross-functional teams to identify opportunities for AI-driven transformation.
- Evaluate cutting-edge technologies and make clear recommendations based on business value, cost efficiency, risk mitigation, strategic alignment, and long-term supportability.
- Adhere strictly to MUFG’s Systems Delivery Lifecycle (SDLC) process and governance standards.
- Provide leadership in establishing architectural principles, engineering standards, reusable patterns, and quality controls for AI solutions.
- Deliver high-quality L1, L2, and L3 support across all services owned by the AI Engineering team.
- Track outcomes, costs, and return on investment using evidence-based approaches.
- Ensure all activities comply fully with relevant policies, procedures, and controls.
- Promote MUFG’s values-led culture by fostering an inclusive environment.
- Coach and mentor AI Engineering colleagues to build strong engineering discipline.
- Establish robust peer networks across the business to share ideas and align delivery efforts globally.
- Collaborate extensively with Digital Transformation teams and business stakeholders to understand requirements, contribute to opportunity pipeline prioritisation, and define success measures for AI initiatives.
- Work closely with Digital Transformation teams and business owners to track outcomes, costs, and return on investment using evidence-based approaches to improve or scale solutions as needed.
- Ensure all activities comply fully with relevant policies, procedures, controls, including strict adherence to change management protocols and privileged production access management processes.
- Coach and mentor AI Engineering colleagues to build strong engineering discipline within the team while proactively identifying new technologies and best practices for adoption.
- Establish robust peer networks across the business to share ideas, align delivery efforts globally, and drive successful outcomes through collaborative initiatives.
Requirements
- Proven experience in delivering sophisticated AI solutions within large-scale enterprise environments, preferably regulated financial institutions.
- Exceptional interpersonal skills, ability to communicate complex ideas simply, connect with stakeholders, build trust, share expertise, nurture talent, and promote a values-led culture.
- Extensive experience in technology delivery or operations within AI engineering, machine learning or data science environments - ideally in regulated industries such as financial services.
- Proven track record of building custom Generative AI solutions on Azure (preferred) or AWS platforms with deep familiarity in RAG architectures, vector databases, prompt engineering and model evaluation frameworks.
- Strong background in structured systems development lifecycle (SDLC), including Secure by Design (SbD), Architecture Review Board (ARB), Data Protection Impact Assessment (DPIA), CI/CD pipelines and related governance processes.
- Ability to define technical standards and reference patterns while documenting architectural decisions clearly, assessing alternative technologies/vendors/delivery approaches effectively.
- Comprehensive understanding of security/privacy/responsible AI/data governance/model risk considerations relevant to global financial organisations or equivalent regulated sectors.
- Excellent communication skills enabling you to simplify complex technical concepts for diverse audiences while engaging business stakeholders meaningfully.
- Experience defining measurable outcomes/return on investment for AI projects, using evidence-based methods to assess impact/improve scalability.
- Expertise across orchestration/governance/development tools such as LangChain/LangGraph/Azure Foundry/Azure AI/MCP/Python/vector databases.
- Experience providing effective 1st/2nd/3rd line support across multiple business areas, ensuring operational reliability for mission-critical services.
Skills
- Artificial Intelligence
- Retrieval Augmented Generation (RAG)
- Agentic Models
- Azure
- AWS
- RAG architectures
- Vector databases
- Prompt engineering
- Model evaluation frameworks
- Systems Delivery Lifecycle (SDLC)
- Secure by Design (SbD)
- Architecture Review Board (ARB)
- Data Protection Impact Assessment (DPIA)
- CI/CD pipelines
- Security
- Privacy
- Responsible AI
- Data governance
- Model risk management
- Communication
- Stakeholder engagement
- Outcome definition
- Return on Investment (ROI) definition
- LangChain
- LangGraph
- Azure Foundry
- Azure AI
- MCP
- Python
- L1 support
- L2 support
- L3 support
Location
- London
Work Type
- Flexible working
Experience Level
- Vice President
- Senior
Education Level
- Degree-educated in Computer Science/Data Science or related discipline or equivalent practical experience demonstrating advanced technical proficiency.
Benefits
- Generous training opportunities
- Supportive leadership
- Flexible working arrangements
About the Company
- MUFG is one of the world’s leading financial groups, with 150,000 colleagues globally.
- The company is committed to building long-term relationships, serving society, and fostering shared and sustainable growth.
- MUFG's vision is to be the world’s most trusted financial group.
- The company culture prioritizes people, new and diverse ideas, and collaboration towards innovation, speed, and agility.
- MUFG invests in talent, technologies, and tools that empower employees to own their careers.
- MUFG is a globally respected financial institution with a strong commitment to inclusivity and diversity.
- MUFG stands out as one of the world’s most respected financial institutions, a place where tradition meets forward-thinking innovation.
- The company is deeply committed to fostering an inclusive workplace that celebrates diversity at every level.
- Employees benefit from flexible working arrangements designed around their needs as well as generous training opportunities that encourage continuous learning.
- Supportive leadership ensures every team member feels valued while collaborative networks empower individuals to share ideas freely across departments.
- At MUFG you’ll find a nurturing environment where your contributions are recognised and where you can grow both personally and professionally alongside knowledgeable colleagues who share your passion for technology-driven transformation.
- The organisation’s dedication to responsible innovation means you’ll be part of projects that have real impact, not just within MUFG but across the wider industry.
- With its strong values-led culture focused on integrity, trust, supportiveness, inclusivity, growth leadership, and network-building, the company offers an unparalleled platform for talented professionals seeking meaningful careers in artificial intelligence engineering within financial services.
Equal Opportunity
- MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count.
- We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
- We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.